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Published in 2018 at "Food microbiology"
DOI: 10.1016/j.fm.2017.12.010
Abstract: The structure of microbial association networks was investigated for seventeen studies on food bacterial communities using the CoNet app. The results were compared with those for host and environmental microbiomes. Microbial association networks of food… read more here.
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Published in 2020 at "Neuron"
DOI: 10.1016/j.neuron.2020.01.029
Abstract: The spatial distribution of large-scale functional networks on the cerebral cortex differs between individuals and is particularly variable in association networks that are responsible for higher-order cognition. However, it remains unknown how this functional topography… read more here.
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Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2109995119
Abstract: Significance Networks are fundamental units for studying complex systems, but reconstructing networks from large-scale experimental data is very challenging in systems biology and microbial ecology, primarily due to the difficulty in unraveling direct and indirect… read more here.
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Published in 2020 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbz064
Abstract: Abstract The vast amount of experimental data from recent advances in the field of high-throughput biology begs for integration into more complex data structures such as genome-wide functional association networks. Such networks have been used… read more here.
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Published in 2021 at "FEMS microbiology ecology"
DOI: 10.1093/femsec/fiab083
Abstract: It is of great interest to elucidate the biogeographic patterns of soil microorganisms and their driving forces, which is fundamental to predicting alterations in microbial-mediated functions arising from environment changes. Although dissolved organic matter (DOM)… read more here.
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Published in 2023 at "Microbiology Spectrum"
DOI: 10.1128/spectrum.03871-22
Abstract: This study developed PPNet, the first tool that can be used to infer large-scale bacterial functional association networks of a single species. PPNet includes a method for assigning the uniqueness of a bacterial strain using… read more here.
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Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0259193
Abstract: Motivation Gene expression data provide an opportunity for reverse-engineering gene-gene associations using network inference methods. However, it is difficult to assess the performance of these methods because the true underlying network is unknown in real… read more here.
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Published in 2019 at "Behavior Research Methods"
DOI: 10.3758/s13428-018-1090-z
Abstract: We developed a method that can identify polarized public opinions by finding modules in a network of statistically related free word associations. Associations to the cue “migrant” were collected from two independent and comprehensive samples… read more here.